Weighting methods for truncation by death in cluster-randomized trials
Isenberg D, Harhay M, Mitra N, Li F. Weighting methods for truncation by death in cluster-randomized trials. Statistical Methods In Medical Research 2025, 34: 473-489. PMID: 39885759, PMCID: PMC11951466, DOI: 10.1177/09622802241309348.Peer-Reviewed Original ResearchConceptsSurvivor average causal effectAverage causal effectCluster randomized trialAsymptotic variance estimatorsSubgroup treatment effectsCausal effectsPrincipal stratification frameworkFinite-sampleVariance estimationDistributional assumptionsIdentification assumptionsStratification frameworkPatient-centered outcomesNon-mortality outcomesOutcome modelQuality of lifeRandomized trialsIll patient populationMeasurement time pointsTruncationEstimationLength of hospital stayAssumptionsSurvivorsPatient populationPrioritizing attributes of approaches to analyzing patient-centered outcomes that are truncated due to death in critical care clinical trials: a Delphi study
Bahti M, Kahan B, Li F, Harhay M, Auriemma C. Prioritizing attributes of approaches to analyzing patient-centered outcomes that are truncated due to death in critical care clinical trials: a Delphi study. Trials 2025, 26: 15. PMID: 39794867, PMCID: PMC11721323, DOI: 10.1186/s13063-024-08673-x.Peer-Reviewed Original ResearchConceptsCritical care clinical trialsPatient-centerednessDelphi roundsConsensus thresholdModified Delphi processCritical care trialsPatient-centered outcomesInvited individualsCare trialsExperience expertsDelphi processDelphi panelDelphi studyClinical trialsResearch teamResponse rateResultsThirty-oneClinical relevancePersonal experienceTrialsRespondentsCritical attributesDeathOutcomesAnalysis approach
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